Theorie-Palaver

The Rise of the Tagging Machines

Tilman Plehn, Heidelberg University

Machine Learning techniques have been used at the LHC for a long time. Jet
sub-structure has become an especially active field to test new ideas in this
direction. I will discuss how jet sub-stucture has become an established concept
in the last decade and in which sense machine learning is the next logical step
in this field. Specifially, top tagging has many applications in searches for
physics beyond the Standard Model. It allows us to to test different approaches,
benchmark new architectures and tools, understand how deep learning tools actually
work, and illustrate the conceptual progress we can expect in jet analyses in the
coming years.